Allen School researchers are at the forefront of exciting developments in AI spanning machine learning, computer vision, natural language processing, robotics and more.
We cultivate a deeper understanding of the science and potential impact of rapidly evolving technologies, such as large language models and generative AI, while developing practical tools for their ethical and responsible application in a variety of domains — from biomedical research and disaster response, to autonomous vehicles and urban planning.
Groups & Labs
AIMS Lab
The AI for bioMedical Sciences (AIMS) Lab fundamentally advances the way AI is integrated with biology and clinical medicine by addressing novel scientific questions spanning explainable AI, model auditing, disease drivers, and more.
Bespoke Silicon Group
The Bespoke Silicon Group aims to bring hardware design to its highest art and rapidly conceive of, design and implement entirely new kinds of hardware faster than has ever been done before.
Faculty Members
Centers & Initiatives
The Tech Policy Lab is a unique, interdisciplinary collaboration at the University of Washington that aims to enhance technology policy through research, education, and thought leadership. Founded in 2013 by faculty from the Paul G. Allen School of Computer Science & Engineering, Information School, and School of Law, the Lab aims to bridge the gap between technologists and policymakers and to help generate wiser, more inclusive tech policy.
The AI Institute for Societal Decision Making (AI-SDM) brings together AI and social sciences researchers to develop human-centric AI for societal good that harnesses the power of data and improved understanding of human decisions to create better and more trusted choices.
Highlights
UW News
Allen School researchers presented a study at ACL 2025 that found people who interacted with a conservative or liberal version of ChatGPT began mirroring the model’s bias in their views on a set of issues and funding priorities—regardless of their own political leanings.
Association for Computational Linguistics
The Association for Computational Linguistics honored Min (Ph.D., ‘24) for her dissertation “Rethinking Data Use in Large Language Models,” which expanded the natural language processing community’s understanding of the behavior and capabilities of LLMs.
Allen School News
The IEEE Robotics & Automation Society (RAS) recognized Gupta, who leads the Allen School’s WEIRD Lab, for his “pioneering contributions to real world robotic reinforcement learning” that enable robots to acquire new skills with minimal human help or engineering.